• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.251-258
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• 2019

This study proposed a system that can improve the employment rate and maintenance employment rate by filtering information related to employment in analyzing big data for students who want to find employment. The subject was a two-year female university, the existing employment strategy participated in the job search with simple information such as school grades and personality. As a result, the maintenance employment rate was relatively low due to the decrease in the satisfaction of students seeking employment and the incompatibility with the post-employment aptitude. In order to solve these problems, we propose a system that determines and filters whether the input data in the process of analyzing big data such as employment-related information to improve employment and maintenance employment rates.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.122-128
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• 2012

In this study, through the development of the Survey questions for employments to increase employment rates which has 2 items in 23 questions and the analysis of the questionnaire based on the response results of 289 senior students who are finding their jobs. It has the effect that providing basic data about employment preparatory stance and giving counseling, discussions and future directions. So there are carefully proposed desirable increasement plans of employment rates by considering the regional characteristics and reality.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.4
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• pp.207-222
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• 2023

In order to improve employment rates, most universities operate programs to strengthen students' employment and entrepreneurship, regardless of whether they are selected as the Leading Industry-Innovative University (LINC) or not. In particular, in the case of non-metropolitan universities are risking their lives to improve employment rates. In order to overcome the limitations of university establishment type and university location, which absolutely affect the employment rate, we are operating a startup education & startup support program in order to strengthen employment and entrepreneurship, and capstone design & field training as industry-academia-linked education programs are always available. Although there are studies on effectiveness verification centered on LINC (Leaders in Industry-University Cooperation) in previous studies, but a longitudinal study was conducted on all factors of university factors, startup education & startup support, and capstone design & field training as industry-university-linked education programs as factors affecting the employment rate based on public disclosure indicators. No cases of longitudinal studies were reported. This study targets 116 universities that satisfy the conditions based on university disclosure indicators from 2018 to 2020 that were recently released on university factors, startup education & startup support, and capstone design & field training as industry-academia-linked education programs as factors affecting the employment rate. We analyzed the differences between the LINC (Leaders in Industry-University Cooperation) 51 participating universities and 64 non-participating universities. In addition, considering that there is no historical information on the overlapping participation of participating students due to the limitations of public indicators, the Exposure Effect theory states that long-term exposure to employment and entrepreneurship competency enhancement programs will affect the employment rate through competency enhancement. Based on this, the effectiveness of the 2nd LINC+ (socially customized Leaders in Industry-University Cooperation) was verified from 2017 to 2021 through a longitudinal causal relationship analysis. As a result of the study, it was found that the startup education & startup support and capstone design & field training as industry-academia-linked education programs of the 2nd LINC+ (socially customized Leaders in Industry-University Cooperation) did not affect the employment rate. As a result of the longitudinal causal relationship analysis, it was reconfirmed that universities in metropolitan areas still have higher employment rates than universities in non-metropolitan areas due to existing university factors, and that private universities have higher employment rates than national universities. Among employment and entrepreneurship competency strengthening programs, the number of people who complete entrepreneurship courses, the number of people who complete capstone design, the amount of capstone design payment, and the number of dedicated faculty members partially affect the employment rate by year, while field training has no effect at all by year. It was confirmed that long-term exposure to the entrepreneurship capacity building program did not affect the employment rate. Therefore, it was reconfirmed that in order to improve the employment rate of universities, the limitations of non-metropolitan areas and national and public universities must be overcome. To overcome this, as a program to strengthen employment and entrepreneurship capabilities, it is important to strengthen entrepreneurship through participation in entrepreneurship lectures and actively introduce and be confident in the capstone design program that strengthens the concept of PBL (Problem Based Learning), and the field training program improves the employment rate. In order for actually field training affect of the employment rate, it is necessary to proceed with a substantial program through reorganization of the overall academic system and organization.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.525-534
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• 2012

The purpose of this study is to increase the employment rate of graduates in the fields of the S/W and H/W. In order to seek employment in various major fields of the S/W and H/W, firstly, this paper proposes the educational case study that increases the concern about employment and develops learner's ability in the unfavorable major fields. Secondly, this paper presents the future driving improvement for the employment rate on the basis of the department's special characteristics and the actual circumstances in the fields of the S/W and H/W. This paper conducts the surveys of each 40 seniors majoring in S/W and H/W respectively in order to measure the understanding of probability/statistics which has been used as tools in the unfavorable major fields. With the purpose of increasement on the employment rate, the paper is designed to have 3 steps, that is, a preliminary questionnaire for employment preference, major courses connecting probability/statistics and a post-questionnaire for employment preference, which eventually investigates the changes of the perception on employment. This paper is verified by the multiple regression analysis to approve the effect on improving learner's academic achievement.

• Journal of vocational education research
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• v.36 no.4
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• pp.21-40
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• 2017

The purpose of this study is to demonstrate the effects of job training program satisfaction on objective training performance such as employment rate. In addition, the NCS(National Competency Standards) level was considered as a moderating variable in order to clarify the boundary conditions between job training program satisfaction and employment rate. The data used for the analysis of the research model are 513 job training programs that provide employment rate information among job training programs of 2016 Gwangju area on HRD-Net. The results of the analysis are summarized as follows. First, The satisfaction score of the job training programs calculated on the basis of the six dimensions of satisfaction is 4.46. The NCS level of the job training programs ranged from 2 to 6. The average score of the programs was 3.32. Second, satisfaction with the job training programs has no statistically significant effect on the employment rate, but the NCS level of the job training programs was found to be statistically significant in the interaction effect. Finally, policy implications, limitations, and further research directions are mentioned through this study.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.295-296
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• 2015

본 연구에서는 컴퓨터 프로그래밍 정규 수업과 병행하여 운영된 수준별 맞춤형 프로그램에 참여한 학습자들의 프로그래밍 능력 향상을 평가하고자 한다. 수준별 맞춤형 프로그램으로 수준별 전공스터디와 피어 튜터링 프로그램을 운영하고, 참여 학생들이 별도 학습을 통해 얼마나 실력 향상이 되었는지 평가하기 위해 프로그램 참여자들과 비참여자들의 상대적인 성적 변화를 분석한다. 나아가 참여 학생들이 졸업 후의 취업률과 취업 분야 그리고 고용상태도 분석함으로써 학생들의 실력 향상이 원하는 분야로의 취업에 얼마나 기여했는지도 분석해본다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.647-648
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• 2023

최근 SW 개발 분야로의 인력 수요가 늘어나면서 SW개발 역량을 키우기 위한 학습 프로그램에 대한 관심도 높아지고 있다. 특히 취업률은 대학의 중요한 평가 지표이므로 취업률을 높일 수 있는 SW 개발자 양성 프로그램에 대학들의 관심이 높은 것이 사실이다. 본 연구에서는 SW개발 직무에 종사하고 있는 재직자들을 대상으로 자신들의 개발 역량 향상에 효과적이었던 프로그램들에 대한 설문 조사를 실시하고 그 결과를 분석해보았다. 이 연구 결과는 대학들이 향후 취업 역량을 갖춘 SW개발자 양성 체계를 갖추는데 긍정적인 영향을 미칠 것으로 기대된다.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.61-74
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• 2022

Recently, youth unemployment, especially the unemployment problem of university graduates, has emerged as a social problem. Unemployment of university graduates is both a pan-national issue and a university-level issue, and each university is making many efforts to increase the employment rate of graduates. In this study, we present a model that predicts employment availability of D-university graduates by utilizing Machine Learning. The variables used were analyzed using up to 138 personal information, admission information, bachelor's information, etc., but in order to reflect them in the future curriculum, only the data after admission works effectively, so by department / student. The proposal was limited to the recommended ability to improve the separate employment rate. In other words, since admission grades are indicators that cannot be improved due to individual efforts after enrollment, they were used to improve the degree of prediction of employment rate. In this research, we implemented a employment prediction model through analysis of the core ability of D-University, which reflects the university's philosophy, goals, human resources awards, etc., and machined the impact of the introduction of a new core ability prediction model on actual employment. Use learning to evaluate. Carried out. It is significant to establish a basis for improving the employment rate by applying the results of future research to the establishment of curriculums by department and guidance for student careers.

• Convergence Security Journal
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• v.13 no.5
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• pp.37-43
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• 2013

Retired Military Personnel do not cause an increase in the employment rate of the overall society in the aftermath of the global economic crisis contributed to instability of employment was for many years the future employment of Retired will have an impact on the environment. Over the last 20 years working to improve Retired Military Personnel employment despite these results, it appears a former education support and related support policies deemed necessary and complementary Thus, the former domestic and foreign support education and development direction of the realities in the present investigation.

• Korea Journal of Hospital Management
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• v.22 no.1
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• pp.51-60
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• 2017

목적: 보건의료 관리 분야의 진로는 급변하는 사회적 요구와 시대적 흐름에 발맞추어 다양한 형태로 변화하여 왔다. 본 연구에서는 학습 수요자 측면으로 교과과정에 대한 만족도와 보건의료 계열 취업에 영향을 미치는 요인을 분석하여 보건의료 계열 학과 학생들의 취업률을 향상시킬 수 있는 방안을 도출하고자 한다. 방법: 경기도 성남시 소재 보건의료 계열 학과 163명을 대상으로 2013년 5월 6일부터 5월 9일까지 설문조사를 거쳐 분석을 실시하였다. 결과: 성별에 따른 교육과정의 만족도는 통계적으로 유의하지 않았으나, 고학년으로 올라갈수록 교육과정에 대한 만족도가 낮은 것으로 분석되었다. 성별과 학년에 따라 자격증 취득 계획 여부는 통계적으로 유의한 차이를 보였다. 즉, 성별이 여학생이고 학년이 낮을수록 전공관련 자격증 취득 계획이 높았다. 전공관련 자격증 취득에 영향을 미치는 요인으로는 '성별', '학년(학번)', '보건의료계열 분야로의 취업 여부'가 유의하게 영향을 미치는 것으로 나타났다. 보건의료계열 취업 여부에 영향을 미치는 요인으로는 '교육과정 만족도', '전공관련 자격증 취득 계획'이 통계학적으로 유의하게 영향을 미치는 것으로 분석되었다. 결론: 보건의료관련 학과 학생들의 동일계열 취업률을 향상시키기 위해서는 전공관련 자격증 취득에 직접 간접적으로 영향을 미치는 학생들의 요구를 파악하여 교육과정에 반영하는 것이 중요할 것이다.